Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (21/21 displayed)

  • 2024MAX Phase Ti<sub>2</sub>AlN for HfO<sub>2</sub> Memristors with Ultra‐Low Reset Current Density and Large On/Off Ratio5citations
  • 2024Multi-Objective Optimization of Friction Stir Processing Tool with Composite Material Parameterscitations
  • 2023Photochemically Induced Marangoni Patterning of Polymer Bilayerscitations
  • 2023Wear performance analysis of B<sub>4</sub>C and graphene particles reinforced Al–Cu alloy based composites using Taguchi method2citations
  • 2023Evolution of flow reversal and flow heterogeneities in high elasticity wormlike micelles (WLMs) with a yield stress5citations
  • 2022SURFACE EROSION PERFORMANCE OF YTTRIUM OXIDE BLENDED WC-12CO THERMALLY SPRAYED COATING FOR MILD STEEL2citations
  • 2022Controlling Surface Deformation and Feature Aspect Ratio in Photochemically Induced Marangoni Patterning of Polymer Films4citations
  • 2021Criteria Governing Rod Formation and Growth in Nonionic Polymer Micelles14citations
  • 2021Achieving Stable Patterns in Multicomponent Polymer Thin Films Using Marangoni and van der Waals Forces5citations
  • 2021Study on Solid Particle Erosion of Pump Materials by Fly Ash Slurry using Taguchi’s Orthogonal Array27citations
  • 2020Self-aligned capillarity-assisted printing of high aspect ratio flexible metal conductors10citations
  • 2019Dynamic wetting failure in curtain coating15citations
  • 2017Droplet wetting transitions on inclined substrates in the presence of external shear and substrate permeability21citations
  • 2016Dynamic wetting failure and hydrodynamic assist in curtain coating24citations
  • 2015Combined thermal and electrohydrodynamic patterning of thin liquid films16citations
  • 2011Highly conducting and flexible few-walled carbon nanotube thin film50citations
  • 2010Meltblown fibers130citations
  • 2010Transient growth without inertia70citations
  • 2010Transient response of velocity fluctuations in inertialess channel flows of viscoelastic fluidscitations
  • 2004Instability of viscoelastic plane Couette flow past a deformable wall37citations
  • 2000Shear banding and secondary flow in viscoelastic fluids between a cone and plate18citations

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Chart of shared publication
Graham, Samuel
1 / 6 shared
Tian, Mengkun
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Vogel, Eric
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Datta, Suman
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Athena, Fabia Farlin
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Aabrar, Khandker Akif
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Buchmaier, Wolfgang
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Nnaji, Moses
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Vaca, Diego
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Bongale, Arunkumar
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Nargundkar, Aniket
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Usgaonkar, Saurabh Shenvi
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Sachit, T. S.
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Jadhav, Priya
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Porcar, Lionel
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Mccauley, Patrick J.
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Huang, Christine
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Kumar, Prashant
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Singh, Varinder
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Singh, Jashanpreet
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Mohapatra, S. K.
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Jochem, Krystopher S.
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Bidoky, Fazel Zare
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Wang, Yan
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Kolliopoulos, Panayiotis
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Frisbie, C. Daniel
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Francis, Lorraine F.
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Carvalho, Marcio S.
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Liu, Chen Yu
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Espín, Leonardo
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Vandre, Eric
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Corbett, Andrew
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Sohn, Gyung Joo
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Baek, Jong Beom
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Jain, Rahul
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Jeon, In Yup
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Macosko, Christopher W.
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Zhou, Chunfeng
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Tan, Dawud H.
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Bates, Frank S.
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Jovanović, Mihailo R.
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Shankar, V.
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Larson, Ronald G.
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Co-Authors (by relevance)

  • Graham, Samuel
  • Tian, Mengkun
  • Vogel, Eric
  • Datta, Suman
  • Athena, Fabia Farlin
  • Aabrar, Khandker Akif
  • Buchmaier, Wolfgang
  • Nnaji, Moses
  • Vaca, Diego
  • Bongale, Arunkumar
  • Nargundkar, Aniket
  • Usgaonkar, Saurabh Shenvi
  • Sachit, T. S.
  • Jadhav, Priya
  • Porcar, Lionel
  • Mccauley, Patrick J.
  • Huang, Christine
  • Kumar, Prashant
  • Singh, Varinder
  • Singh, Jashanpreet
  • Mohapatra, S. K.
  • Jochem, Krystopher S.
  • Bidoky, Fazel Zare
  • Wang, Yan
  • Kolliopoulos, Panayiotis
  • Frisbie, C. Daniel
  • Francis, Lorraine F.
  • Carvalho, Marcio S.
  • Liu, Chen Yu
  • Espín, Leonardo
  • Vandre, Eric
  • Corbett, Andrew
  • Sohn, Gyung Joo
  • Baek, Jong Beom
  • Jain, Rahul
  • Jeon, In Yup
  • Macosko, Christopher W.
  • Zhou, Chunfeng
  • Tan, Dawud H.
  • Bates, Frank S.
  • Jovanović, Mihailo R.
  • Shankar, V.
  • Larson, Ronald G.
OrganizationsLocationPeople

article

Meltblown fibers

  • Macosko, Christopher W.
  • Zhou, Chunfeng
  • Tan, Dawud H.
  • Kumar, Satish
  • Bates, Frank S.
Abstract

<p>Both melt viscosity (η<sub>o</sub>) and elasticity (correlated here with the longest melt relaxation time λ<sub>1</sub>) were found to control the diameter distribution of meltblown fibers. Fibers were formed by melt blowing binary polystyrene (PS) blends containing widely differing component molecular weights using a custom-built laboratory apparatus. Varying the concentration and molecular weight of a high molecular weight PS provided independent control over η<sub>o</sub> and λ<sub>1</sub>. These rheological parameters influence the average diameter (d<sub>av</sub>) and the distribution of diameters (coefficient of variation, CV) of meltblown fibers in different ways. Increasing η<sub>o</sub> leads to an increase in d<sub>av</sub> but has little impact on CV. On the other hand, increasing λ<sub>1</sub> beyond a threshold value reduces CV while simultaneously increasing d<sub>av</sub>. A one-dimensional slender-jet theoretical model with both upper convected Maxwell and Phan-Thien and Tanner constitutive equations was developed to investigate the influence of viscoelasticity and processing parameters on the properties of meltblown fibers. This model predicts a strong dependence of fiber diameter on the air shear stress and variations in fiber diameter with viscoelasticity that are in qualitative agreement with the experimental results. We believe these results suggest that carefully controlling the viscoelastic profile of polymers used in melt blowing is a viable approach for producing nanofibers with narrow fiber diameter distributions using current commercial equipment.</p>

Topics
  • impedance spectroscopy
  • polymer
  • melt
  • viscoelasticity
  • elasticity
  • molecular weight
  • one-dimensional
  • melt viscosity